Change detection schemes are of great interest in streaming settings,
whether they arise from data warehouses, data cleaning systems, network
traffic anomaly detection, or other measurement scenarios. The goal of
change detection systems is to determine whether fundamental
characteristics of a data stream have changed, either temporally (with
respect to earlier streams) or spatially (with respect to other streams).
We present an application of an information-theoretic change detection
scheme to determining stationarity in Internet measurements. Our
experiments indicate that this generic scheme, inspite of being oblivious
to the nature of the data, matches a more domain specific approach for
this problem, and requires no domain knowledge to work effectively.